Simultaneous and sensitive determination of Escherichia coli O157:H7 and Salmonella Typhimurium using evanescent wave dual-color fluorescence aptasensor based on micro/nano size effect

Fang, Shunyan; Song, Dan; Zhuo, Yuxin; Chen, Yuan; Zhu, Anna; Long, Feng

doi:10.1016/j.bios.2021.113288

Cited by 37 publications

(23 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, a study aimed at the development of a fluorescent biosensor for the detection of two common bacteria, E. coli O157:H7 and Salmonella Typhimurium [24] . The fabrication of this biosensor did not require the complex immobilization of biorecognition elements on the sensor surface.…”

Section: Biosensors For the Detection Of Pathogensmentioning

confidence: 99%

See 1 more Smart Citation

Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater

Kadadou¹,

Tizani²,

Wadi³

et al. 2022

Journal of Environmental Chemical Engineering

View full text Add to dashboard Cite

Section: Biosensors For the Detection Of Pathogensmentioning

confidence: 99%

“…This enrichment step was crucial to increase the bacterial count and meet the LOD of rapid tests, which was in the range of 10 3 –10 5 CFU/mL for Salmonella . Biosensors, on the other hand, provide much higher sensitivities, with the most recent LODs being in the range of 10–10 2 CFU/mL [24] , [21] .…”

Section: Biosensors For the Detection Of Pathogensmentioning

confidence: 99%

Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater

Kadadou¹,

Tizani²,

Wadi³

et al. 2022

Journal of Environmental Chemical Engineering

View full text Add to dashboard Cite

“…6a). The S. typhimurium concentration in the samples below 1 × 10 2 CFU/mL is considered safe because the infectious dose for S. typhimurium is 1 × 10 3 CFU/mL [34].…”

Section: Sensitivity and Selectivity Of The Aptasensormentioning

confidence: 99%

On-site colorimetric detection of Salmonella typhimurium based on peroxidase-like activity of aptamer-functionalized 3D covalent organic frameworks embedded with gold nanoparticles

Zhao

Wei

et al. 2022

Preprint

View full text Add to dashboard Cite

Rapid qualitative and quantitative detection of Salmonella typhimurium (S. typhimurium) takes an important role in ensuring food safety. Herein, a colorimetric assay aptasensor for S. typhimurium utilizing intrinsic peroxidase-like activity of Au nanoparticles embedded 3D covalent organic framework and the affinity and specificity of S. typhimurium-aptamer has been explored. This aptasensor can capture the S. typhimurium via the selective binding effect of aptamer, and the catalytically active sites were shielded. As a result, the colorimetric signals of the 3,3’,5,5’-tetramethylbenzidine-H2O2 system were turned off. Under optimum conditions, the aptasensor gave a linear response over the range of 10 to 107 CFU/mL for S. typhimurium. The detection limit of 7 CFU/mL was obtained within 45 min and was effectively applied to detect S. typhimurium in milk and lake water samples with recoveries in the range from 96.4–101.0%. More importantly, combined with a self-developed smartphone-based image analysis system, the proposed aptasensor can be used for point-of-care testing applications

show abstract

“…Fluorescence analysis is one of the optical sensing methods to quantify the concentration of the target according to the fluorescence intensity of the labeled materials, which can solve the color interference of a food matrix when using colorimetric methods. The generated fluorescence signal can be visually observed by a fluorescence observer or measured by a fluorescence spectrometer [83,84]. Fluorescence analysis has two main means of fluorescence generation; one mean is the direct measurement of the fluorescence intensity from fluorescent materials; the other mean is the indirect measurement of fluorescence quenching to reflect the amount of Salmonella.…”

Section: Fluorescence Analysismentioning

confidence: 99%

Overview of Rapid Detection Methods for Salmonella in Foods: Progress and Challenges

Wang

Zhang

Tian

et al. 2021

Foods

View full text Add to dashboard Cite

Salmonella contamination in food production and processing is a serious threat to consumer health. More and more rapid detection methods have been proposed to compensate for the inefficiency of traditional bacterial cultures to suppress the high prevalence of Salmonella more efficiently. The contamination of Salmonella in foods can be identified by recognition elements and screened using rapid detection methods with different measurable signals (optical, electrical, etc.). Therefore, the different signal transduction mechanisms and Salmonella recognition elements are the key of the sensitivity, accuracy and specificity for the rapid detection methods. In this review, the bioreceptors for Salmonella were firstly summarized and described, then the current promising Salmonella rapid detection methods in foodstuffs with different signal transduction were objectively summarized and evaluated. Moreover, the challenges faced by these methods in practical monitoring and the development prospect were also emphasized to shed light on a new perspective for the Salmonella rapid detection methods applications.

show abstract

Simultaneous and sensitive determination of Escherichia coli O157:H7 and Salmonella Typhimurium using evanescent wave dual-color fluorescence aptasensor based on micro/nano size effect

Cited by 37 publications

References 25 publications

Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater

Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater

On-site colorimetric detection of Salmonella typhimurium based on peroxidase-like activity of aptamer-functionalized 3D covalent organic frameworks embedded with gold nanoparticles

Overview of Rapid Detection Methods for Salmonella in Foods: Progress and Challenges

Contact Info

Product

Resources

About